L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can AMD Instinct MI250X run mistralai/Mistral-Large-Instruct-2411?

Runs Q4128GB VRAM availableRequires 60GB+

AMD Instinct MI250X meets the minimum VRAM requirement for Q4 inference of mistralai/Mistral-Large-Instruct-2411. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Instinct MI250X can run mistralai/Mistral-Large-Instruct-2411 with Q4 quantization. At approximately 101 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 68GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q460GB128GB100.72 tok/s✅ Fits comfortably
Q8120GB128GB69.21 tok/s✅ Fits comfortably
FP16240GB128GB33.88 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
159.98 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
130.55 tok/s
Price: —
AMD Instinct MI300X
192GB
113.10 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
99.23 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
96.46 tok/s
Price: —

More questions

AMD Instinct MI250X specs & pricingFull guide for mistralai/Mistral-Large-Instruct-2411mistralai/Mistral-Large-Instruct-2411 speed on AMD Instinct MI250Xmistralai/Mistral-Large-Instruct-2411 Q4 requirements